Stochastic Beach Width Prediction at a Recently Nourished Beach

Stochastic Beach Width Prediction at a Recently Nourished Beach

Enschedé, Maurits (TU Delft Civil Engineering and Geosciences)

Kroon, J. (mentor)
Aarninkhof, S.G.J. (graduation committee)
de Schipper, M.A. (graduation committee)
Jäger, Wiebke (graduation committee)
Morales Napoles, O. (graduation committee)

Delft University of Technology

Civil Engineering

2019-10-01

This study examines a method for a stochastic beach width prediction with a process-based morphodynamic model. This is carried out by a case study at the Hondsbossche Dunes, after a beach nourishment in March 2018. Stochastic forcing conditions are generated for the location of the Hondsbossche Dunes. These stochastic forcing conditions consist of time series with significant wave heights, peak wave periods, wave directions, and water levels. The basis of the method for generating these stochastic forcing conditions are Autoregressive-Moving Average (ARMA) models. The morphological change of the beach width due to these stochastic forcing conditions is modelled using an XBeach model. This results in a range of the possible development of the beach width, with the probability of occurrence. With the method examined in this study, a more realistic idea of the possible future beach width development can be given.

XBeach
Stochastic modelling
Hondsbossche dunes
ARMA models
Latin Hypercube
Nourishment

http://resolver.tudelft.nl/uuid:07cd3e82-4413-4833-8ba5-52cec70dbc71

52.726079, 4.636397

Student theses

master thesis

© 2019 Maurits Enschedé